Other

Robert L Blosser

Ronald E Madsen, Jr

A neural net sonic identification system includes an ultra-sonic emitter and receiver configured to detect characteristics of a subject by detecting reflections of the ultrasonic waves. The sonic reflections are processed by a neural network pattern recognition system that learns to recognize a particular subject and distinguish it from other subjects. The emitter/receiver is continuously optimized for phase, wavelength, spectral, and power frequencies, and the received sound 'picture' is written-over the previously stored encrypted image data file for a particular individual, so as to continuously update the processor's retained identification information. In one embodiment, the emitter/receiver comprises a solid-state multi-layer tunable array of piezoelectric emitters and receivers that can be selectively 'aimed' in different directions without physically moving by independently varying the wavelength and power of the various emitters/receivers.

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West Jordan, UT, United States of America

Robert L Blosser